Think Global, Act Local: Database Management Comes to Hybrid Cloud

New technology lets organizations unlock the potential of multicloud database management without all the cost and risk.

By Paul Gillin

By Paul Gillin April 20, 2021

With three-quarters of global enterprises describing their data infrastructure strategy as hybrid or multicloud, IT organizations are looking to apply the cloud’s flexibility, scalability and pay-as-you-go pricing to some of their most important workloads: their databases.

Moving a database entirely to the cloud isn’t always an option. Companies in regulated industries with ownership or data sovereignty requirements may have to keep all or part of their data stores on site.

“In certain instances, keeping data on-premises is the only way to secure it,” said Tanner Arnold, president and CEO of Revelation Machinery.

Others want to retain ownership of their data while also having the flexibility to share copies selectively with employees and partners. A hybrid cloud database offers the best of both worlds, combining cloud infrastructure’s scalability and availability with local control. There are also built-in data protection benefits since data stores can be automatically backed up or mirrored across multiple clouds for better protection.


Database Management Automation Brings Huge ROI

For all these reasons, Gartner has forecast that in the future, “most organizations' DBMS deployments will coexist in the on-premises and cloud worlds simultaneously.”

The task of managing databases across multiple platforms has always been fraught with complexity and risk, but new technology is erasing the need for many database-specific skills while simplifying complex tasks like backup and integrity control. The result is a sea change in the way companies think about where data lives and who can use it.

Data-Driven Architecture

“Hybrid cloud databases have enormous business benefits for companies because they allow a company to run the database where the business and data dictates rather than where the technology dictates,” according to Neil Carson, CEO of Yellowbrick Data

“This allows companies to observe data gravity or sovereignty requirements, accommodate multicloud architectures and get the performance of on-premises systems in conjunction with the scale of a cloud.”

Distributed databases are nothing new – the concept dates back to the 1970s – but the idea has gained traction recently with the proliferation of NoSQL databases such as Apache Cassandra, Apache HBase, Couchbase, Presto and Clusterpoint. These engines are typically used to analyze copies of production data and to mix structured and unstructured elements to gain new insights.

While rarely deployed for mission-critical processing, hybrid cloud databases support users’ growing appetite for decision-support data, enabling IT organizations to scale usage as needed without installing additional infrastructure.

Local and Remote Uses

Cloud platforms offer a dizzying range of appealing options; Amazon Web Services alone has more than 15 database choices. Businesses can keep transaction data in their on-site relational stores and move data needed for development or analytics to a purpose-built cloud engine. 

They can also deploy local databases that duplicate those in public cloud infrastructure for the purposes of cost, performance, security and other factors, according to Julien Raby, owner and website manager of Coffee-Works.

“If the private cloud provides instance types and services that are identical to the public cloud, it is easier to build, transfer and scale workloads and resources,” Raby said. 


Why Database-as-a-Service Becomes Unleashed in 2020

Database administrators can shift workloads between platforms as needed. For example, they can run development and testing in the cloud and shift applications back to local infrastructure for processing. Or they can replicate workloads to one or more cloud regions for backup and recovery purposes.

The hybrid model “lets you keep hard copies of your data while still allowing remote access to employees,” said Chris Riley, CEO of USA Rx, a digital health marketplace. 

“This is extremely useful now that much of the workforce has transitioned to working from home.”

What About Implementing?

But migrating to and managing a hybrid environment is challenging. Data integrity must be maintained. Copies of production data can’t be allowed to proliferate and create confusion or errors. Security is a concern when data traverses public networks and management complexity grows with the number of database platforms involved.

“Hybrid cloud databases are hard to implement,” said Caroline Lee, co-founder of CocoSign, a developer of digital signature software. 

“They need to comply with legacy systems the company is using, the service provider must be flexible, a new administrative team may need to be hired and there are governance challenges.” 

Nevertheless, the cost savings, reliability and flexibility payoffs are often worth the extra effort, she noted.

Applications that use data must also be aware of where it’s located. 

“There’s a whole re-architecting required to take advantage of the public cloud environment,” said Chris Paap, senior solutions marketing manager at Nutanix 

“It’s not just moving a database; it’s also all the applications and reporting. You need to [operate in the] public cloud but manage like the environment is on-premises.”

Software Simplification

Those data integrity measures are one application of hybrid cloud databases that Nutanix is targeting with Nutanix Era, a database as a service (DBaaS) custom made for the Nutanix platform for running databases that automate and simplifies database administration on-premises and in the cloud. 

Paap said the software provides one-click simplicity and invisible operations to database provisioning and life cycle management (LCM) such as cloning, patching, and backing up databases,  manage consistency across multiple platforms. Equally important is that Nutanix Era simplifies the hybrid cloud database environment by abstracting away much of the complexity of managing multiple discrete systems.

“For example, if you’re going to run on AWS you have to become an expert in RDS,” which is the cloud giant’s distributed relational database service, Paap said. 

“Your company policies and practices have to shift and it’s a learning process.”


Removing the Drudgery of Managing Enterprise Databases Across Multiple Clouds

But with Nutanix Era, you manage everything from a single pane of glass, he said.

“You’re extending your environment out to the public cloud with the policies, standards and best practices already in place. The way you deploy on-prem is the same as in AWS.”

The unified approach also pays off in better data protection. 

“Your data can be in different locations or regions for data sovereignty reasons, and you can replicate it and manage it with the same policies,” Paap said. “You can have a Phoenix data center and an AWS instance in Frankfurt and run failover between the two.”

Nutanix Era currently provides a single interface for Oracle, Microsoft SQL Server, MySQL, and MariaDB, Postgres, and SAP HANA databases across Nutanix hyperconverged and AWS cloud infrastructure. Paap said more databases and cloud platforms will be supported in the future.

As multicloud environments proliferate, technologies like Nutanix Era will reduce the need for organizations to have to employ different database administrators (DBAs) for each platform and enable the distributed database to realize its potential, according to Paap. 

“We see DBAs evolving from being experts in Oracle or NoSQL to generalists,” he said.

Moving up the value chain is something any organization can appreciate.

Paul Gillin is a Forecast contributing writer, speaker, author and B2B content marketing strategist. He was founding editor-in-chief of B2B technology publisher TechTarget and editor-in-chief and executive editor of Computerworld, a tech newsweekly, for 12 years.

© 2021 Nutanix, Inc. All rights reserved. For additional legal information, please go here.

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